1. Consistency at scale
Large groups of people start behaving more consistently. The gap between your best performer and your average one narrows.
AI Strategy · Framework 01
Where AI moves value
AI moves value away from software people operate by hand, and toward systems that hold context and run themselves with agents. The work of strategy is to move your firm toward the side that is gaining value, and off the side that is losing it.
The thesis
The things that used to be valuable, like dashboards, manual workflows and the screens people fill in, start to lose ground. The things that used to be boring, like captured context, clean data and the systems that hold a record of what actually happened, become the asset.
The eight shifts below are one move seen from eight angles. They come from a public conversation with Nikesh Arora, CEO of Palo Alto Networks, pulled apart into strategy you can act on.
The eight shifts
Eight places AI moves value
Each is a place where the ground is moving under a normal business. Read them as prompts, not predictions.
2. Compression of expert work
Any job that depends on an expert reading a big pile of messy material is exposed. Weeks of specialist time turn into hours.
3. Context is the asset
The firms that win are the ones that capture the most context, not the ones with the most tools. A model is only as good as the context you can hand it.
4. The boring layer wins
Databases, document stores, capture, retrieval and audit trails become the floor everything else stands on. Skipping it is the most common reason AI work stalls.
5. Agents over systems of record
The next move is not ripping out the CRM and ERP. It is an agent layer that sits over what you already run and does the work directly.
6. The end of manual data entry
Systems of record start filling themselves in from calls, emails and documents. People stop feeding the machines by hand.
7. Models become a utility
The value is not generic model access. It is the workflows, integrations, data and outcome you build around it. The model is the engine, not the vehicle.
8. A capability, not a project
Value comes from a long effort of capturing context and getting governance right, owned and improved over time. Not a launch.
Where value moves
One side is gaining. One side is losing.
The question for your firm is simple: which side is most of your effort sitting on today?
Losing value
Dashboards and reporting tools, manual workflows on a screen, generic model access, people typing data in by hand, forms.
Gaining value
Captured context about how the business runs, agents over systems of record, applications built for your domain, capture that happens on its own, clean data underneath.
The diagnostic
Five questions that place your firm
The rough version you can run in a workshop. A FitCheck is how we do it properly, every score traced to evidence from your own organisation.
- Variation. Where does the quality of our work depend too much on who happens to do it?
- Bottlenecks. Where do experts spend days reading through large volumes of material?
- Lost context. What do we know but never capture in a way a machine could use?
- Manual feeding. Where are our people still typing things into systems by hand?
- Ownership. Who owns AI as a capability, and what governance sits around it?
Get the full framework
The eight shifts in full, the five-question diagnostic, the Value and Effort prioritisation into Now, Next and Later, and the interview prompt that turns all of it into a board-ready strategy for your firm. Plus a worked example.
- The full framework write-up
- The tailoring interview prompt
- A worked example (a general insurer)
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